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2 votes
0 answers
148 views

Find the available squares for rooks in empty board using boolean arrays

I will describe two techniques, then the question will be how I can make an algorithm that is more efficient, if possible. I want to find an efficient way to determine the squares where the pieces on ...
3sm1r's user avatar
  • 143
0 votes
1 answer
540 views

Image color-moment extractor [closed]

I was just wondering if there is a way to speed up the performances of this for loops in Python. I'm trying to process an image to get the color-moments without using libraries. It takes about 12sec ...
Enrico Mosca's user avatar
2 votes
0 answers
123 views

Extract cell values from multiband rasters

I have the following function and code snippet to extract cell values for multiple years, format it, and save to a list. Each raster has 365 bands — one for each day. A separate operation is performed ...
Ibe's user avatar
  • 121
5 votes
1 answer
1k views

Improving the speed of creation for three Perlin Noise Maps in Python?

I am interested in learning how I can improve the speed of the code in this pygame file. I iterate over 6400 * 1800 * 3 or 34,560,000 elements of various numpy arrays here to apply noise values to ...
LuminousNutria's user avatar
7 votes
1 answer
1k views

Plotting terrain pixels with PyGame based on random NumPy array

I am experimenting with Perlin Noise and random map generation. I have a 2D numpy ndarray full of 16-bit floats called map_list that I call from the singleton ...
LuminousNutria's user avatar
2 votes
3 answers
443 views

Code to find the sum of the product of all size-n combinations of an array

The title is a bit of a mouthful, so here's a quick example: You've got an array, maybe just the digits 1-3, and you want to get the sum of product of all size-2 combinations of the array. Those ...
rp0's user avatar
  • 33
6 votes
2 answers
3k views

Remove outliers from a point cloud

This function accepts a cloud of points, and returns those points that are within delta distance of the average (mean) position. ...
adrienlucca.net's user avatar
3 votes
2 answers
4k views

Calculate True Positive, False Positive, True Negative and False negative and colourize output

Objective : Calculate True Positive, False Positive, True Negative and False negative and colourize the image accordignly, based on ground-truth and prediction from my classifier model. Problem : ...
user avatar
5 votes
1 answer
214 views

Using NumPy to scale data in 2 out of 3 columns

The below code takes a csv containing age, weight, height and prints the betas determined through linear regression to an output csv. It runs for 10 iterations using a different alpha for each, and ...
user7875185's user avatar
5 votes
1 answer
5k views

Applying Laplacian smoothing to vertices in a mesh

I'm totally new in Python and I wrote some code. It is a simple algorithm to smooth objects. I need to find adjacent vertices in mesh and sum their coordinates and after that divide by a number of ...
Pagorek's user avatar
  • 51
3 votes
0 answers
1k views

Implementing the stochastic gradient descent algorithm of the softmax regression with only NumPy [closed]

I am implementing the stochastic gradient descent algorithm. I think there is plenty of room for improvement. ...
Lerner Zhang's user avatar
5 votes
2 answers
1k views

A command-line utility to solve a system of linear equations

I was re-checking my answers for a Math paper on my laptop. I needed to verify my solution for a system of linear equations. Unfortunately, I found no quick way to do that. That's why I wrote a (...
Hungry Blue Dev's user avatar
5 votes
2 answers
850 views

Python Cartesian Product in a constrained dictonary

I want to calculate the Cartesian product of n copies of a small list, marker=[0,1,2]. I want to use these Cartesian product ...
Zhubarb's user avatar
  • 245
4 votes
1 answer
336 views

Surface Density Profile

I am trying to compute the surface density profile, given the spherical density profile in 3D for different parameters in order to interpolate and have it as a function of them to use later on for ...
Sketos's user avatar
  • 53
2 votes
1 answer
183 views

Slicing a big NumPy array

I have a function that takes a four-dimensional NumPy array M and, for each value i of its second index, takes all of M without the i-th "column", evaluates the product over all other columns, and ...
blue's user avatar
  • 123

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